• DocumentCode
    476115
  • Title

    A self-organizing environmental potential field model based on fuzzy neural networks

  • Author

    Zeng, Bi ; Yang, Yi-Min ; Su, Zhen-wen

  • Author_Institution
    Guangdong Univ. of Technol., Guangzhou
  • Volume
    4
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1835
  • Lastpage
    1839
  • Abstract
    Aim at an autonomous mobile robot dynamics planning, this paper proposes a method to construct the dynamic environment potential field model to realize the autonomous mobile robot dynamics planning, and employ fuzzy neural network to tune potential field parameters to overcome the artificial potential field problems of the local minima. Simulation results show that the proposed method is not only effective in realizing optimal path planning, but also provides an effective action planning method which combine the traditional planning and the adaptive optimization technology based on the experience.
  • Keywords
    fuzzy neural nets; mobile robots; optimisation; path planning; robot dynamics; self-adjusting systems; adaptive optimization; autonomous mobile robot dynamics planning; fuzzy neural networks; self-organizing environmental potential field; Cybernetics; Fuzzy logic; Fuzzy neural networks; Intelligent robots; Machine learning; Mobile robots; Navigation; Orbital robotics; Path planning; Technology planning; Artificial potential field; Fuzzy neural network; Mobile robots; Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620704
  • Filename
    4620704